AI Security & MLOps Mastery Boot Camp
Join our AI Security & MLOps Boot Camp to enhance your skills in constructing secure machine learning pipelines and safeguarding AI systems, ideal for IT professionals and tech leaders.
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Essential Skills Gained
Design efficient machine learning workflows to optimize projects and minimize errors.
Implement model monitoring to detect and resolve performance issues swiftly.
Integrate continuous deployment practices for reliable AI system updates.
Enhance secure coding to protect against vulnerabilities and AI-specific threats.
Format
- Instructor-led
- 3 days with lectures and hands-on labs.
Audience
- Data Scientists
- Machine Learning Engineers
- DevOps Professionals
- IT Security Leads
Description
AI and MLOps are revolutionizing industry standards for designing, deploying, and safeguarding AI systems. Our intensive boot camp is crafted for IT professionals keen on mastering the orchestration of machine learning workflows and fortifying AI security in operational environments. This program, abundant with hands-on labs and real-world exercises, empowers participants to automate workflows, manage models proactively, and enhance secure coding practices. Whether you're writing code or managing AI projects, this course will equip you with the expertise needed to drive impactful and secure AI innovations within your organization.
Course Outline
Download PDFFoundations of MLOps
Introduction and Importance of MLOps
Key Differences: MLOps, DevOps, DataOps
MLOps Lifecycle Overview
MLOps Tools & Practices
Key Tools for ML Pipelines
Overview: MLflow, Kubeflow, etc.
MLOps Pipeline Components & Best Practices
Simple Pipeline Demonstration
Automating ML Processes
Workflow Automation for Efficiency
Role of CI/CD in MLOps
Model Performance & Monitoring
Addressing Model Decay
Performance Monitoring Techniques
Feedback Loops and Continuous Improvement
Applying MLflow
Setting Up Tracking with MLflow
Experiment Organization Techniques
Visualization of Experiment Outcomes
Smart Orchestration in MLOps
Orchestration Role and Tools
Workflow Design with Prefect
AI Basics and Secure Coding
AI and Security Intersections
Importance of AI Awareness in Secure Coding
Guarding Against AI Risks
Identifying and Mitigating AI Threats
Application of OWASP Principles
Secure AI in Web Applications
Safeguarding AI Integrations
Risk Management in Web-based AI
Natural Language Processing & Security
Recognizing NLP-Related Risks
Safe Application of NLP Tools
AI Risk Management Leadership
Governance Frameworks for AI Risk
Lifecycle Incorporation of AI Security
Your Team has Unique Training Needs.
Your team deserves training as unique as they are.
Let us tailor the course to your needs at no extra cost.
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier